Wikipedia has an article for GLMs that I will review. It is here.
This looks interesting - it's from Stanford's Methods of Analysis Program in the Social Sciences
Wednesday, October 21, 2009
Modeling beyond OLS
How do you know whether linear regression - or another modeling method - should be used to analyze data for a particular problem?
Here are a few things to consider: distribution of the outcome variable, the sampling design, the structure of the data, the questions to be answered or quantity to be estimated, and assumptions about key variables and/or error structures that can be made.
It gets complicated to say more without a specific example at hand. But for researchers who are familiar with linear and logistic regression and who encounter analysis problems where these methods are no longer appropriate, some general guidance is much needed. Software vendors often provide this kind of guidance. Consulting statisticians can also be helpful in providing guidance, but it is not always easy to identify suitable (non-statistical) references on the rationale for choosing methods beyond those that are well-known. I would definitely appreciate hearing about texts and articles on modeling methods that are targeted towards clinicians.
In the next few posts I hope to address the issue by exploring some of the questions that arise, with links to sources that I have found useful. Here is one that I have yet to explore in depth- it is from NC State's Statistics department, and could be a great resource: NC State Statnotes .
I'll be looking for feedback on this and other resources that I find, such as:
Here are a few things to consider: distribution of the outcome variable, the sampling design, the structure of the data, the questions to be answered or quantity to be estimated, and assumptions about key variables and/or error structures that can be made.
It gets complicated to say more without a specific example at hand. But for researchers who are familiar with linear and logistic regression and who encounter analysis problems where these methods are no longer appropriate, some general guidance is much needed. Software vendors often provide this kind of guidance. Consulting statisticians can also be helpful in providing guidance, but it is not always easy to identify suitable (non-statistical) references on the rationale for choosing methods beyond those that are well-known. I would definitely appreciate hearing about texts and articles on modeling methods that are targeted towards clinicians.
In the next few posts I hope to address the issue by exploring some of the questions that arise, with links to sources that I have found useful. Here is one that I have yet to explore in depth- it is from NC State's Statistics department, and could be a great resource: NC State Statnotes .
I'll be looking for feedback on this and other resources that I find, such as:
- Is the level of this resource suitable for medical or health policy researchers?
- Is the organization of the content appropriate?
- Are you able to find the answer to your question? Is the answer useful? Adequate to your needs?
- Is background knowledge needed in order to effectively use this resource?
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